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Vimal Daga Chief Technical Officer (CTO) – Linuxworld Informatics Pvt Ltd Professional Experience & Certifications

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Vimal Daga Chief Technical Officer (CTO) – Linuxworld Informatics Pvt Ltd Professional Experience & Certifications Vimal Daga Chief Technical Officer (CTO) – LinuxWorld Informatics Pvt Ltd Professional Experience & Certifications: I Professional Experience During this period, has been engaged with various corporate clients on different domains and has been involved in imparting corporate Training programs and Consultancy for various technologies that covers the following: A. Sr. Machine Learning / Deep Learning / Data Scientist / NLP Consultant and Researcher Expertise in the field of Artificial Intelligence, Deep Learning, and Computer Vision and having ability to solve problems such as Face Detection, Face Recognition and Object Detection using Deep Neural Network (CNN, DNN, RNN, Convolution Networks etc.) and Optical Character Detection and Recognition (OCD & OCR) Worked in tools such as Tensorflow, Caffe/Caffe2, Keras, Theano, PyTorch etc. Build prototypes related to deep learning problems in the field of computer vision. Publications at top international conferences/ journals in fields related to computer vision/deep learning/machine learning / AI Experience on tools, frameworks like Microsoft Azure ML, Chat Bot Framework/LUIS . IBM Watson / ConversationService, Google TensorFlow / Python for Machine Learning (e.g. scikit-learn),Open source ML libraries and tools like Apache Spark Highly Worked on Data Science, Big Data,datastructures, statistics , algorithms like Regression, Classification etc. Working knowlegde of Supervised / Unsuperivsed learning (Decision Trees, Logistic Regression, SVMs,GBM, etc) Expertise in Sentiment Analysis, Entity Extraction, Natural Language Understanding (NLU), Intent recognition Strong understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing, and how they work at a basic level and NLP toolkits as NLTK, Gensim,, Apac SpaCyhe UIMA etc. I have Hands on experience related to Datasets such as or including text, images and other logs or clickstreams. and have worked on text data cleaning, parsing and web scraping with regular expressions for text extraction and cleansing Worked on recommendation algorithm used in e-commerce and advertising and have knowledge of applied machine learning to solve real-world problems and Applied unsupervised, supervised, and semi-supervised ML in own problem domain B. Splunk Consulting, Architect, SIEM, Administration, Developing and Training – Cisco, PwC, WellsFargo, JP Morgan Chase, Deloitte, many more More Than 4 years’ experience in Splunk Enterprise. Deploying large data analytics architectures for customers mainly in the Banking section, Governments and Security companies. Consult and Solutions to Over 30 Splunk projects and over 40 Corporate Batch Trained Integrating Splunk with Arcsight and Splunk for Security and Risk Analysis including Information Asset Management and SIEM. Architecture design and implementation of Splunk solution Platform optimization Design and implement indexers and search heads Clusters (+migrations) Implementing distributed Splunk and ES Configuring Splunk heavy forwarders to receive logs using push or pull Writing complex correlation searches for data analysis and notable events Writing optimized searches for realtime and historical data analysis Writing custom apps for field extractions and data normalization Developing and deploying customized configuration apps for distributed Splunk Writing field extractions for desired fields out of proprietary application data Creating reports and correlated alerts for stake holders about application behavior and anomalies Data aggregation and summarization by summary indexing and acceleration Writing transaction searches and data normalization Integrating Splunk with AD servers for ldap authentications or SAML PING FEDERATE, DBs for enrichments, Hadoop servers for parallel processing using Hadoop Connect Upgrading stand-alone Splunk to distributed Splunk implementation Writing custom inputs, props and transforms to have correct event-breaks, field extractions and transformations Strategizing and writing custom configurations for data routing and selective indexing for the location wise forwarders Developing interactive dashboards, reports and optimized search queries for users C. Cloud ComputingTechnologies – Deployment, Testing & Security Design, build, maintain and operate one of the largest open stack based cloud deployments with all the component, Nova, Glance, Swift, Horizon, Keystone, Neutron, Cinder, Heat, Ceilometer, Trove, Sahara, Ironic, Zaqar, Manila, Designate, Barbican, Searchlight, Magnum, aodh, cloudkitty, congress, freezer, mistral, monasca-api, monasca-log-api, murano, panko, senlin, solum, tacker, vitrage, Watcher Capacity management, and provisioning. Maintaining and troubleshooting Setup and manage a multi-node Openstack environment with docker implement and provision with Devops tools Designs, builds, and manages enterprise Redhat RHOSP and Helion OpenStack (HOS) Cloud environments. That involve creating capacity collection and monitoring capabilities, upgrade projects, customer consultations, operations, and design enhancements Have worked as an Openstack Consultant and also has strong knowledge of SDN, database design, networking and storage. Managing and Configuring Virtualization Technologies Over the Hypervisor Xen, KVM, EXSi Works and and Managed Full RedHat Virtualization Technology Product RHEVM, with complete migration and datacenter Configuration Works on Virtualization Products Like VirtualBox, VMware Workstation, Virt-Manager Develop Over own Virtualization Frontend Over KVM using Python API Fully Configure and Manage Amazon AWS Cloud for Huge Topology Implement Data Virtualization (DaaS) to application data using Delphix , to captures and stores a copy of production application data, including ongoing changes Use Delphix to delivers virtual copies for application development, reporting, troubleshooting Set Each and Every Amazon AWS Products like EC2, VPC, ELB, S3, Glacier, EMR, DynamoDB, EBS,RDS, IAM, many more Works at Architect Level on OpenStack Cloud and Configure for Public and Private Architect Managing and Implementing Each Stack of Openstack like Nova, Cinder, Glance, Keystone, Horizon, Qpid, Swift, Neutron/Quantum Setup Multi Node Environment of OpenStack Over VLAN, GRE tunnel Configure Distributed Cloud Storage using GlusterFS filesystem Deploy our OWN cloud and Architect each Service by own code using Python like Saas, Staas, Naas, Paas, Iaas Cloud PaaS – RedHat OpenShift & Google App Engine Cloud IaaS – RedHat OpenStack, AWS, Microsoft Azure & Google Compute Engine Managing and Configuring Message Queue in distributed application using Apache Qpid, RabbitMQ, Apache AMQ, Amazon SQS Setup Advanced Message Queuing Protocol (AMQP) for Middleware interoperability D. Sr AWS Cloud Principal Consultant, Integrator, Architect and Corporate Trainer Automating and improving infrastructure, using Chef / Opsworks for configuration management in AWS Configure Event driven architecture using Lambda service Implement scalable and microservices over Elastic beanstalk Integrate Redis from Elasticache with onboarding apps Implement Amazon Web Services (AWS) extensively , having managed services and applications in a large AWS cross-account environment leveraging IAM and federated SSO and integrating with PingFederate / Ping Access and Oracle OIM Configure Infrastructure as Code using Cloud formation with AWS services including IAM, Virtual Private Cloud, Config, Cloud watch, etc.. Tuning and Scaling Service with alerting, monitoring and make it optimize uptime. Managed AWS services with SDK and Create Multitier stack integrated with SQS and Configuration management and automation experience with Ansible, Python, and Boto Experience with databases such as Oracle, Mysql, Postgres, DynamoDB and Redshift Security background and experience with DDOS mitigation and IDPS Experience managing Hardware Security Modules (CloudHSM, Safenet Luna SA, etc) Production experience with Docker and Implemented through ECS services Strong Experience with All the AWS components like EC2, ELB, Auto Scaling, launch Configurations, S3, Glacier, Lifecycle rules for storage, VPC, Route 53, Cloud watch, Cloud Trial, RedShift, Volume and Snapshot management, SNS, IAM and Roles. Architect of public and private Workload and integrate onboarding application with Openstack and cloud platforms (AWS) Experience in Migrating S/W components to AWS. Creating snapshots and amazon machine images (AMIs). Setup VPCs in AWS with private VPN integration Application deployment and data migration on AWS. Configuring Route 53 and DNS failover. Configure Code pipeline service and integrate with code commit and Automation and continuous integration processes with Jenkins & Team city. Code repository management, code merge and quality checks with various tools. Redesigned infrastructure for high availability using multiple AWS availability zones. Development, Acceptance, Integration, and Production AWS Endpoints. AWS Cloud watch to monitor environment. Developed and maintained automated infrastructure using puppet and AWS to migrate existing applications. Implement Complete pipeline on DevOps, Cloud Computing, Virtualization and Storage technologies with aptitude for solving Operations challenges Proficient in IT environment with a focus on DevOps and Automation projects. Designed and implemented automated installations using Open source tools. Experience in Deploying, maintaining and integrating
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